| Description |
1 online resource (ix, 586 pages) : illustrations. |
| Physical Medium |
polychrome |
| Description |
text file |
| Series |
Adaptive computation and machine learning
|
|
Adaptive computation and machine learning.
|
| Note |
"Index" : an online index is available on the book webpage at http://www.cs.umd.edu/srl-book/index.htm. |
| Bibliography |
Includes bibliographical references. |
| Contents |
Introduction / Lise Getoor, Ben Taskar -- Graphical Models in a Nutshell / Daphne Koller [and others] -- Inductive Logic Programming in a Nutshell / Saso Dzeroski -- An Introduction to Conditional Random Fields for Relational Learning / Charles Sutton, Andrew McCallum -- Probabilistic Relational Models / Lise Getoor [and others] -- Probabilistic Entity-Relationship Models, PRMs and Plate Models / David Heckerman, Chris Meek, Daphne Koller -- Relational Markov Networks / Ben Taskar [and others] -- Logic-based Formalisms for Statistical Relational Learning / James Cussens -- Bayesian Logic Programming : Theory and Tool / Kristian Kersting, Luc De Raedt -- Stochastic Logic Programs : A Tutorial / Stephen Muggleton, Niels Pahlavi -- Markov Logic : A Unifying Framework for Statistical Relational Learning / Pedro Domingos, Matthew Richardson -- BLOG : Probabilistic Models with Unknown Objects / Brian Milch [and others] -- The Design and Implementation of IBAL : A General-Purpose Probabilistic Language / Avi Pfeffer -- Relational Dependency Networks / Jennifer Neville, David Jensen -- Feature Generation and Selection in Multi-Relational Statistical Learning / Alexandrin Popescul, Lyle H. Ungar -- Reinforcement Learning in Relational Domains : A Policy-Language Approach / Alan Fern, SungWook Yoon, Robert Givan -- Statistical Relational Learning for Natural Language Information Extraction / Razvan C. Bunescu, Raymond J. Mooney -- Global Inference for Entity and Relation Identification via a Linear Programming Formulation / Dan Roth, Wen-tau Yih -- Learning a New View of a Database : With an Application in Mammography / Jesse Davis [and others]. |
| Summary |
Advanced statistical modeling and knowledge representation techniques for a newly emerging area of machine learning and probabilistic reasoning; includes introductory material, tutorials for different proposed approaches, and applications. |
| Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
| Subject |
Relational databases.
|
|
Relational databases. |
|
Machine learning -- Statistical methods.
|
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Machine learning -- Statistical methods. |
|
Machine learning. |
|
Computer algorithms.
|
|
Computer algorithms. |
| Genre/Form |
Electronic books.
|
| Added Author |
Getoor, Lise.
|
|
Taskar, Ben.
|
| Other Form: |
Print version: Introduction to statistical relational learning. Cambridge, Mass. : MIT Press, ©2007 9780262072885 0262072882 (DLC) 2007000951 (OCoLC)80019804 |
| ISBN |
9780262256230 (electronic book) |
|
0262256231 (electronic book) |
|
9780262072885 (hardcover ; alkaline paper) |
|
0262072882 (hardcover ; alkaline paper) |
|
9781435603110 (electronic book) |
|
1435603117 (electronic book) |
|
1282096338 |
|
9781282096332 |
|
